ristretto
snapcraft
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ristretto | snapcraft | |
---|---|---|
19 | 111 | |
5,306 | 1,130 | |
1.4% | 0.4% | |
6.1 | 9.3 | |
29 days ago | 7 days ago | |
Go | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ristretto
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Otter, Fastest Go in-memory cache based on S3-FIFO algorithm
1. Unfortunately, ristretto has been showing hit ratio around 0 on almost all traces for a very long time now and the authors don't respond to this in any way. Vitess for example has already changed it to another cache. Here are two issues about it: https://github.com/dgraph-io/ristretto/issues/346 and https://github.com/dgraph-io/ristretto/issues/336. That is, ristretto shows such results even on its own benchmarks. You can see it just by running hit ratio benchmarks on a very simple zipf distribution from the ristretto repository: https://github.com/dgraph-io/ristretto/blob/main/stress_test.... On this test I got the following:
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S3 Express Is All You Need
That's exactly how Userify[0] used to work. (when it was Python; now that it's a Go app, we do the caching in memory using Ristretto[1]).
0. https://userify.com (team ssh key management/sudo authz)
1. https://github.com/dgraph-io/ristretto
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Theine - High performance in-memory cache
I also do some hit ratio benchmarks and Theine's results are much better than Ristretto. See results in README: https://github.com/Yiling-J/theine-go#hit-ratios
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Python deserves a good in-memory cache library!
If you know Caffeine(Java)/Ristretto(Go)/Moka(Rust), you know what Theine is. Python deserves a good in-memory cache library.
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VCache: A Simple In-Memory Cache Library
Thanks for sharing. There are a lot of options for embedded in-memory caches: https://github.com/dgraph-io/ristretto https://awesome-go.com/caches/ Do you have any comparisons or details on how your project has a different approach?
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Cacheme: Asyncio cache framework with multiple storages and thundering herd protection
I made Cacheme years ago, which support redis and synchronous API only. Then I switch to Go and found that there are some awesome cache projects in Go(ristretto, gocache...), I also made my own Cacheme go version: cacheme-go. After trying asyncio and type hint, I think it's time to rewrite my old Cacheme.
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Show HN: Zcached, in-memory key-value cache wire-compatible with memcached
zcached is an in-memory key-value cache exposing a memcached ASCII protocol-compatible interface, built on pluggable cache engines like Ristretto and freecache [0].
It's not performance-competitive with memcached, especially at higher thread counts. That said, it achieves about 1.1M ops/s, but at significantly higher P99 and P999 latency (as measured by memtier). See [1] and [2] for benchmark results from my 7950x-based workstation.
Disclaimer: This is a hobby project created for fun while hacking over the holidays. zcached is not a commercial product and never will be. Don't use it in production; consider this a technology demo more than anything.
I don't expect the source code to build outside of my environment, but for those interested in playing with it, binary artifacts are available at [3]. Try `zcached --address tcp:localhost:11211`.
[0] https://github.com/dgraph-io/ristretto, https://github.com/coocood/freecache
- What is the coolest Go open source projects you have seen?
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Quitting Dgraph Labs
While I never used dgraph, I do use badger and ristretto and am similarly in a bind over their long-term survival (moreso badger than ristretto)...
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Recommendation for Key/Value storage
There are also different packages used as a wrapper on top of the Go map based on what your requirements are (storing a lot of data) https://github.com/allegro/bigcache or (need performance) https://github.com/dgraph-io/ristretto. For basic use-cases, the standard Go map should be enough. Just keep in mind whether you need concurrent access to your data structure, in which case you should guard your map with a mutex .
snapcraft
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Tools for Linux Distro Hoppers
Hopping from one distro to another with a different package manager might require some time to adapt. Using a package manager that can be installed on most distro is one way to help you get to work faster. Flatpak is one of them; other alternative are Snap, Nix or Homebrew. Flatpak is a good starter, and if you have a bunch of free time, I suggest trying Nix.
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Setting Up for Java on Linux.
My personal favourite IDE for java is Intellej Idea. Apart from not demanding the extra extension, It was designed special for Java and Java related languages so it runs java smoothly with great compilation time. so lets install it. Make sure you have snap before installing it
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Why is Linux so hard and anti GUI?
Linux Mints App Store is full of GUI programs, Snap Store ist full of it, Flathub is full of it.
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This might seem dumb but where tf does snap put the actual files and stuff?
You are being lazy. But I recommend bringing your ass directly to snapcraft.io and reading those documents in the Learn section!!
- Just set up Ubuntu 22.04, looking for software recommendations
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[seriously] Why do people hate snaps?
https://github.com/snapcore/snapcraft - not sure, but looks like a building tools for snaps
- Flutter 3 on Devuan 4: 始め方
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Flutter 3 on Devuan 4: Getting started
Besides, there may be other ways to install them, although there doesn't seem no such Flatpak packages in Flathub. For example, some senerio to use some release channel or Docker / Podman. Additionally, when you use a different Linux distro where systemd is adopted and therefore can do Snaps (Snapd), you have another possibility.
- Android Studio on Devuan 4: インストール
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Android Studio on Devuan 4: Install
Devuan GNU+Linux is a fork of Debian without systemd and hence Snaps (Snapd). Even on it, it's easy to install Android Studio and start to develop Android mobile apps.
What are some alternatives?
go-cache-benchmark - Cache benchmark for Golang
com.spotify.Client
BigCache - Efficient cache for gigabytes of data written in Go.
input-remapper - 🎮 ⌨ An easy to use tool to change the behaviour of your input devices.
stretto - Stretto is a Rust implementation for Dgraph's ristretto (https://github.com/dgraph-io/ristretto). A high performance memory-bound Rust cache.
flathub - Pull requests for new applications to be added
moka - A high performance concurrent caching library for Rust
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
parquet-go - Go library to read/write Parquet files
express-vpn-gui - ExpressVPN GUI for Linux
IceFireDB - @IceFireLabs -> IceFireDB is a database built for web3.0 It strives to fill the gap between web2 and web3.0 with a friendly database experience, making web3 application data storage more convenient, and making it easier for web2 applications to achieve decentralization and data immutability.
flatpak - Linux application sandboxing and distribution framework